Results for "graph search"
Search algorithm for generation that keeps top-k partial sequences; can improve likelihood but reduce diversity.
Neural networks that operate on graph-structured data by propagating information along edges.
Extension of convolution to graph domains using adjacency structure.
Structured graph encoding facts as entity–relation–entity triples.
Directed acyclic graph encoding causal relationships.
A datastore optimized for similarity search over embeddings, enabling semantic retrieval at scale.
Retrieval based on embedding similarity rather than keyword overlap, capturing paraphrases and related concepts.
Choosing step size along gradient direction.
Directly optimizing control policies.
GNN using attention to weight neighbor contributions dynamically.
Graphs containing multiple node or edge types with different semantics.
Graphical model expressing factorization of a probability distribution.